Jeremy H. M. Wong

Proceedings of the IEEE International Conference on Acoustics, 2024

Noise Robust Distillation of Self-Supervised Speech Models via Correlation Metrics.

[BibT_eX]

[DOI]

Fabian Ritter Gutierrez

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Modelling Inter-Rater Uncertainty in Spoken Language Assessment.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Multiple output samples for each input in a single-output Gaussian process.

[BibT_eX]

[DOI]

CoRR, 2023

Distilling knowledge from Gaussian process teacher to neural network student.

[BibT_eX]

[DOI]

Jeremy H. M. Wong

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Variational Gaussian Process Data Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Joint Speaker Diarisation and Tracking in Switching State-Space Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Diarisation Using Location Tracking with Agglomerative Clustering.

[BibT_eX]

[DOI]

Igor Abramovski

Xiong Xiao

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Variations of multi-task learning for spoken language assessment.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Hidden Markov Model Diarisation with Speaker Location Information.

[BibT_eX]

[DOI]

Xiong Xiao

Proceedings of the IEEE International Conference on Acoustics, 2021

Ensemble Combination between Different Time Segmentations.

[BibT_eX]

[DOI]

Dimitrios Dimitriadis

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Combination of End-to-End and Hybrid Models for Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model.

[BibT_eX]

[DOI]

Jinyu Li

Rui Zhao

Eric Sun

Amit Das

Zhong Meng

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Ensemble generation and compression for speech recognition

[BibT_eX]

[DOI]

PhD thesis, 2019

General Sequence Teacher-Student Learning.

[BibT_eX]

[DOI]

Mark John Francis Gales

Yu Wang

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Exploiting Future Word Contexts in Neural Network Language Models for Speech Recognition.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Learning Between Different Teacher and Student Models in ASR.

[BibT_eX]

[DOI]

Yu Wang

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

Sequence Teacher-Student Training of Acoustic Models for Automatic Free Speaking Language Assessment.

[BibT_eX]

[DOI]

Yu Wang

Kate M. Knill

Anton Ragni

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Student-Teacher Training with Diverse Decision Tree Ensembles.

[BibT_eX]

[DOI]

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Multi-task ensembles with teacher-student training.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

Sequence Student-Teacher Training of Deep Neural Networks.

[BibT_eX]

[DOI]